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    An innovative weighted 2 DLDA approach for face recognition

    Access Status
    Fulltext not available
    Authors
    Lu, C.
    An, Senjian
    Liu, Wan-quan
    Liu, X.
    Date
    2009
    Type
    Conference Paper
    
    Metadata
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    Citation
    Lu, Chong and An, Senjian and Liu, Wanquan and Liu, Xiaodong. 2009. An innovative weighted 2DLDA approach for face recognition, in Paisarn Muneesawang, Feng Wu, Itsuo Kumazawa, Athikom Roeksabutr, Mark Liao, Xiaoou Tang (ed), PCM 09, Dec 15 2009, pp. 110-118. Bangkok, Thailand: Springer.
    Source Title
    The 2009 IEEE Pacific Rim Conference on Multimedia: Advances in Multimedia Information Processing
    Source Conference
    PCM 09
    DOI
    10.1007/978-3-642-10467-1_9
    ISBN
    9783642104664
    Faculty
    School of Science and Computing
    Department of Computing
    Faculty of Science and Engineering
    Remarks

    The original publication is available at : http://www.springerlink.com

    URI
    http://hdl.handle.net/20.500.11937/21668
    Collection
    • Curtin Research Publications
    Abstract

    Two Dimensional Linear Discrimination Analysis (2DLDA) is an effective feature extraction approach for face recognition, which manipulates on the two dimensional image matrices directly. However, some between-class distances in the projected space are too small andthis may bring large error classification rates. In this paper we proposea new 2DLDA-based approach that can overcome such drawback in the 2DLDA. The proposed approach redefines the between-class scatter matrix by putting a weighting function based on the between-class distances, and this will balance the between-class distances in the projected space iteratively. In order to design an effective weighting function, the between-class distances are calculated and then used to iteratively change the between-class scatter matrix. Experimental results showed that the proposed approach can improve the recognition rates on the ORL database, the Yale database and the YaleB database in comparison with other 2DLDA variants

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